%0 Journal Article
%T Survey of CPU/GPU Synergetic Parallel Computing<br>CPU/GPU协同并行计算研究综述
%A LU Feng-shun
%A SONG Jun-qiang
%A YIN Fu-kang
%A ZHANG Li-lun
%A <br>卢风顺
%A 宋君强
%A 银福康
%A 张理论
%J 计算机科学
%D 2011
%I 
%X With the features of tremendous capability, high performance/price ratio and low power, the heterogeneous hybrid CPU/GPU parallel systems have become the new high performance computing platforms. However, the architecture complexity of the hybrid system poses many challenges on the parallel algorithms design on the infrastructure. According to the scale of computational resources involved in the synergetic parallel computing, we classified the recent researches into three categories,detailed the motivations,methodologies and applications of several projects,and discussed some on-going research issues in this direction in the end. We hope the domain experts can gain useful information about synergetic parallel computing from this work.
%K Heterogeneous hybrid
%K Synergetic parallel computing
%K GPU computing
%K Performance optimization<br>异构混合，协同并行计算，GPU计算，性能优化，可扩展
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=BD1DBB2D9720AB5E9FF4C60001D4EE86&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=94C357A881DFC066&eid=9CF7A0430CBB2DFD&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=54